[visionlist] CfP J-STARS Special Issue "Computer-Vision-based approaches for Earth Observation"

[Bertrand Le Saux]

Dear VisionList,

I would like to invite you to contribute to a special issue in the
J-STARS journal on "Computer-Vision-based approaches for Earth
Observation".

Earth Observation is an ever-growing field of investigation where
computer vision, machine learning, and signal/image processing meet. The
general objective is to provide large-scale information about processes
at the surface of the Earth exploiting data collected by air- and
space-borne sensors.

The technical topics of interest include (but are not limited to): 
* Multi-modal, multi-temporal, and multi-scale data analysis;
* Deep learning for Earth Observation tasks;
* 3D object recognition and classification;
* Dynamic scene understanding;
* Domain adaptation and concept drift;
* Semantic labelling, structured prediction, and structured learning;
* Interactive, human-in-the-loop interpretation of remote sensing data;
* Large-scale 3D reconstruction of urban scenes from very
high-resolution data.

J-STARS is newly reborn as a Golden open access publication (with very
reduced fees for the time being). Papers can be submitted until end of
February, but will be considered immediately after submission. They will
also appear on Xplore right after acceptance. 

Please find all the information here:
http://www.grss-ieee.org/wp-content/uploads/2019/08/Call_for_Paper_Computer_Vision.pdf


See you soon! 

>From the guest editors team,

Bertrand Le Saux
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